CN116996149A - Relay communication system testing method and testing platform based on mixed reality - Google Patents
Relay communication system testing method and testing platform based on mixed reality Download PDFInfo
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
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Abstract
The application relates to a relay communication system test method and a relay communication system test platform based on mixed reality. According to the method, the relay communication system is simulated and tested in the virtual environment by using the mixed reality technology, so that various relay communication schemes can be simulated and tested in the virtual environment, a large number of tests can be conducted in the safe and convenient virtual environment, and the efficiency, accuracy and convenience of the tests are improved; according to the environment change and the communication requirement, the position of the relay equipment is automatically adjusted to optimize the communication effect, and the practicability and the adaptability of the relay communication system are enhanced; in the simulation and test process, a user can interact with the system to optimize communication parameters, improve communication performance and user experience, so that the user can better control and manage the relay communication system; the new relay communication strategy is comprehensively tested in the virtual environment, and possible problems can be found and solved before actual deployment, so that the risk of actual deployment is reduced.
Description
Technical Field
The application relates to the technical field of equipment testing, in particular to a relay communication system testing method and a relay communication system testing platform based on mixed reality.
Background
With the rapid development of mobile communication technology and the internet, a relay communication system has become an important tool for realizing wireless signal coverage and optimizing network performance. However, existing relay communication systems often face some challenges. For example, conventional relay communication systems typically require equipment to be located at multiple locations to ensure coverage of all possible users. However, this approach is expensive and time consuming and may not provide optimal service in some cases. For example, in complex urban environments or in densely populated areas, signals may be subject to interference from buildings or other wireless devices. Furthermore, the optimal location of the relay device may vary over time depending on the user's movement pattern and signal requirements.
To address these problems, researchers have begun exploring relay communication methods and systems that use automatically adjusted positions. The system can dynamically adjust the position of the relay equipment according to real-time network conditions and user requirements. This approach has the potential to significantly improve network performance and quality of service, but at the same time introduces new testing and validation requirements.
The existing relay communication system test has some defects:
(1) Limitations of the actual test environment: the testing of current relay communication systems is mostly based on the actual network deployment and operating environment. Such actual, physical testing environments limit the flexibility and efficiency of testing because each change in environment or change in testing conditions may require reconfiguration and deployment of the equipment. In addition, the complexity, uncontrollability of the actual environment (e.g., weather, interference from other electromagnetic sources, etc.) may introduce additional noise that affects the accuracy and reproducibility of the test results.
(2) Insufficient test coverage: current testing methods are typically based on an actual environment and may not cover all possible user behavior patterns, network conditions, and device profiles. In the existing test environment, simulating large-scale user mobile behaviors, network traffic changes and dynamic adjustment of relay devices all have great challenges.
(3) Lack of simulation of dynamic environment: what the actual relay communication system needs to cope with is a dynamic, changing environment including user mobility, changes in service requirements, and possible equipment failure, etc. However, existing testing methods often assume a static or only a limited-change environment, and cannot fully simulate and verify relay communication strategies in a dynamic environment.
Disclosure of Invention
Based on the above, it is necessary to provide a relay communication system testing method and a testing platform based on mixed reality.
A method for testing a relay communication system based on mixed reality, the method comprising:
a mixed reality environment and device nodes are constructed.
And constructing a virtual environment according to the actual test environment and the actual layout of the relay equipment.
And configuring a relay communication system in the virtual environment.
The user directly observes and controls the behavior of the relay communication system in the virtual environment through a mixed reality interface.
And performing performance evaluation on the relay communication system according to the communication parameters of the relay communication system in the virtual environment to obtain a performance evaluation result.
In one embodiment, constructing a mixed reality environment and device node includes:
and selecting a mixed reality device according to the test task requirement, and installing and calibrating the mixed reality device, wherein the mixed reality device comprises a head-mounted display, a positioning tracking device and a handheld controller.
In one embodiment, constructing a virtual environment according to an actual test environment and an actual layout of the relay device includes:
and modeling by adopting three-dimensional modeling software according to the actual test environment and the network environment in the test task to obtain a virtual environment.
Modeling the relay equipment to obtain a relay equipment model.
And arranging a relay device model in the virtual environment according to the actual layout of the relay device.
In one embodiment, configuring a relay communication system in the virtual environment includes:
setting relay equipment parameters and network topology in the virtual environment, and configuring relay paths and protocols.
And constructing a mathematical model of the relay communication system.
And simulating multi-hop relay communication by adopting simulation software according to the mathematical model, generating a simulation result, and displaying in a preset mode.
In one embodiment, a mathematical model of the relay communication system is constructed, including a signal transmission model, a device location model, and a network performance model.
The signal transmission model is used for calculating the intensity change of the signal from the transmitting point to the receiving point under a given environment.
The equipment positioning model is used for describing the rule that the relay equipment automatically adjusts the position according to the surrounding environment and the state of the relay equipment.
The network performance model is used for calculating the service quality of the network by using signal coverage conditions, relay equipment positions and network loads.
In one embodiment, performing performance evaluation on the relay communication system according to communication parameters of the relay communication system in the virtual environment to obtain a performance evaluation result, including:
and running the simulation of the relay communication system and collecting the current equipment state and network environment of the relay communication system.
Calculating network performance indexes according to the signal transmission model, the equipment positioning model, the network performance model, the current equipment state and the network environment, wherein the network performance indexes comprise: signal coverage, network throughput, signal quality, and device utilization are evaluated.
The network performance index is displayed in the head mounted display.
In one embodiment, displaying the network performance indicator in the head mounted display comprises:
the network performance indicators are graphically and textually displayed in a head-mounted display.
In one embodiment, a user directly observes and controls the behavior of the relay communication system in the virtual environment through a mixed reality interface, comprising:
the user observes the operating state of the relay device from a global perspective and a local perspective through the mixed reality head mounted display.
According to the observed working state of the relay equipment, a user directly modifies equipment parameters through the handheld controller and observes the influence condition of the modified parameters on the signal coverage range and network information of the relay equipment.
The user simulates various test states by changing the settings of the virtual environment and/or network load.
In one embodiment, a user views the operating state of the relay device, including the signal coverage area and the device motion profile, from both a global perspective and a local perspective through a mixed reality head mounted display.
A relay communication system test platform based on mixed reality, wherein the platform is used for testing a relay communication system by adopting the relay communication system test method based on mixed reality; the platform comprises: mixed reality devices and simulation platforms.
The mixed reality device includes: a head mounted display, a position tracking device, and a handheld controller.
The head mounted display is used for building and displaying a virtual environment in a user field of view.
The positioning and tracking device is used for tracking and recording the positions of the user and the relay device in real time.
The handheld controller is used for realizing interaction between a user and the virtual environment and optimizing communication parameters of the relay communication system in the virtual environment.
The simulation platform is used for constructing a virtual environment according to an actual test environment, an actual layout of the relay equipment, a mathematical model, an environment model and a user behavior model of the relay communication system, and is also used for performing performance evaluation on the relay communication system according to the current equipment state and the network environment of the relay communication system in the virtual environment to obtain a performance evaluation result; the relay communication system model is used for simulating the working principle of relay equipment and automatically adjusting the position; the environment model is used for simulating a network environment and a geographic environment; the user behavior model is used for simulating the behavior and service requirements of the user.
According to the relay communication system testing method and the relay communication system testing platform based on mixed reality, the relay communication system is simulated and tested in the virtual environment by using the mixed reality technology, so that various relay communication schemes can be simulated and tested in the virtual environment, a large number of tests can be conducted in a safe and convenient virtual environment, and the efficiency, accuracy and convenience of the tests are improved; according to the environment change and the communication requirement, the position of the relay equipment is automatically adjusted to optimize the communication effect, and the practicability and the adaptability of the relay communication system are enhanced; in the simulation and test process, a user can interact with the system to optimize communication parameters, improve communication performance and user experience, so that the user can better control and manage the relay communication system; the new relay communication strategy is comprehensively tested in the virtual environment, and possible problems can be found and solved before actual deployment, so that the risk of actual deployment is reduced.
Drawings
Fig. 1 is a flow chart of a method for testing a relay communication system based on mixed reality in one embodiment;
fig. 2 is a flowchart illustrating performance evaluation of a relay communication system according to another embodiment.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The method is based on the mixed reality technology to test the relay communication system, and the detailed simulation and performance evaluation flow comprises the steps of establishment of a channel model, definition of a communication protocol, simulation of signal transmission, simulation of equipment movement and path change, simulation of network flow and load, collection and analysis of data and the like. These detailed steps are an important part of the patent protection.
In one embodiment, as shown in fig. 1, there is provided a relay communication system testing method based on mixed reality, the method comprising the steps of:
step 100: a mixed reality environment and device nodes are constructed.
Specifically, a high-resolution Head Mounted Display (HMD), a high-precision positioning tracking device, and an easily operated handheld controller are selected according to test task requirements. Install according to equipment operation standard, ensure that all equipment can normally work to carry out accurate calibration to equipment, ensure positioning accuracy and display effect.
Step 102: and constructing a virtual environment according to the actual test environment and the actual layout of the relay equipment.
Specifically, three-dimensional modeling software is adopted to convert an actual testing environment into a virtual environment, modeling is carried out on actual relay equipment, a relay equipment model is added in the virtual environment, and the virtual environment for testing a relay communication system is formed by placing the relay equipment model according to the actual layout of the relay equipment.
Step 104: the relay communication system is configured in a virtual environment.
Step 106: the user directly observes and controls the behavior of the relay communication system in the virtual environment through the mixed reality interface.
In particular, in a virtual environment, user interaction is critical to the use and optimization of the system. The user can directly observe and control the behavior of the relay communication system through the mixed reality interface.
The user directly observes the behavior of the relay communication system in the virtual environment through the mixed reality head mounted display, and controls parameters of the relay device in the relay communication system in the virtual environment, such as transmission power, channel frequency, and the like, through the handheld controller. The user can also change the setting of the virtual environment through the simulation platform so as to simulate various actual conditions, and the method is a relay communication method capable of automatically adjusting the position, and can automatically adjust the position of the relay equipment according to the environment change and the communication requirement so as to optimize the communication effect.
Through the user interaction function, the method can provide an intuitive and flexible relay communication system simulation and test environment, and helps users to carry out comprehensive verification and optimization before actual deployment.
In the simulation and test process, the user can interact with the system to optimize the communication parameters and improve the communication performance. This method of user interaction and parameter optimization is also one of the key protection points of the present application.
Step 108: and performing performance evaluation on the relay communication system according to the communication parameters of the relay communication system in the virtual environment to obtain a performance evaluation result.
Specifically, performance evaluation is a key link of the simulation and test process, through which a user can understand performance of the relay communication system under different conditions.
In the relay communication system testing method based on mixed reality, the relay communication system is simulated and tested in the virtual environment by using the mixed reality technology, so that various relay communication schemes can be simulated and tested in the virtual environment, a large number of tests can be carried out in a safe and convenient virtual environment, and the efficiency, accuracy and convenience of the tests are improved; according to the environment change and the communication requirement, the position of the relay equipment is automatically adjusted to optimize the communication effect, and the practicability and the adaptability of the relay communication system are enhanced; in the simulation and test process, a user can interact with the system to optimize communication parameters, improve communication performance and user experience, so that the user can better control and manage the relay communication system; the new relay communication strategy is comprehensively tested in the virtual environment, and possible problems can be found and solved before actual deployment, so that the risk of actual deployment is reduced.
In one embodiment, step 100 comprises: and selecting a mixed reality device according to the test task requirement, and installing and calibrating the mixed reality device, wherein the mixed reality device comprises a head-mounted display, a positioning and tracking device and a handheld controller.
In one embodiment, step 102 includes: modeling by adopting three-dimensional modeling software according to the actual test environment and the network environment in the test task to obtain a virtual environment; modeling the relay equipment to obtain a relay equipment model; the relay device model is arranged in the virtual environment according to the actual layout of the relay device.
Specifically, the construction steps of the virtual environment include:
(1) Creating a geographic element: and (3) creating geographic elements such as buildings, trees, hills and the like by using three-dimensional modeling software according to the actual environment model.
(2) Relay device model: and adding a relay equipment model in the virtual environment, and placing according to the actual layout.
In one embodiment, step 104 includes: setting relay equipment parameters and network topology in a virtual environment, and configuring a relay path and a protocol; constructing a mathematical model of the relay communication system; and simulating multi-hop relay communication by adopting simulation software according to a mathematical model, generating a simulation result, and displaying in a preset mode.
In particular, a mathematical model of the relay communication system needs to be converted into a specific software algorithm in order to run on a computer. We can select appropriate programming languages and platforms, such as c++/Python et al and Matlab/Simulink et al, to implement these algorithms.
In the implementation process, the efficiency and the precision of the algorithm are considered, and an efficient and accurate numerical method is selected as much as possible. In addition, we need to consider the robustness of the algorithm to ensure that the algorithm can operate properly under various conditions.
Finally, we need to generate the simulation results and display them in a proper way. We can show the simulation results in the form of charts, animations, etc. for observation and analysis.
For example, we can display signal coverage by thermodynamic diagrams of color gradation, movement trajectories of devices by animation, changes in network performance by graphs, and so forth.
In one embodiment, a mathematical model of the relay communication system is constructed, wherein the mathematical model comprises a signal transmission model, a device positioning model and a network performance model; the signal transmission model is used for calculating the intensity change of the signal from the transmitting point to the receiving point under a given environment; the equipment positioning model is used for describing the rule of automatically adjusting the position of the relay equipment according to the surrounding environment and the state of the relay equipment; and the network performance model is used for calculating the service quality of the network by using the signal coverage condition, the relay equipment position and the network load.
In particular, a mathematical model describing the relay communication system needs to be constructed. This model should include the following parts:
signal transmission model: considering that wireless signals are affected by attenuation, multipath effects and the like in the transmission process, a signal transmission model needs to be established, and the model can calculate the intensity change of signals from a transmitting point to a receiving point under a given environment.
And (3) a device positioning model: the position and attitude of the device have a great influence on signal transmission, so we need to build a device positioning model that describes how the device automatically adjusts its position according to the surrounding environment and its own state.
Network performance model: it is also desirable to build a network performance model that calculates the quality of service of the network based on factors such as signal coverage, device location, network load, etc.
In one embodiment, step 108 includes: running the simulation of the relay communication system, and collecting the current equipment state and network environment of the relay communication system; according to the signal transmission model, the equipment positioning model, the network performance model, the current equipment state and the network environment, calculating network performance indexes, wherein the network performance indexes comprise: evaluating signal coverage, network throughput, signal quality, and device utilization; the network performance index is displayed in the head mounted display.
Specifically, the relay communication system performance evaluation flow is shown in fig. 2.
(1) Defining performance indexes: in order to fully evaluate the performance of a relay communication system, we need to define a series of performance indicators. These metrics may include:
signal coverage: indicating the proportion of the area that the signal of the relay device can cover.
Network throughput: representing the amount of data that the network can transmit per unit time.
Signal quality: it can be measured by parameters such as signal-to-noise ratio (SNR) or Bit Error Rate (BER).
Device utilization: indicating the operating proportion of the relay device over a period of time.
(2) Calculating performance indexes: during the simulation, we need to calculate the performance index in real time. This requires complex mathematical operations based on signal propagation models, device location models, and network performance models, as well as current device states and network environments. To improve the calculation efficiency, we can use some efficient numerical calculation methods, such as parallel calculation, approximation calculation, and the like.
(3) Display performance evaluation: the calculated performance index is displayed in an intuitive way and is an important part of user interaction. We can display the performance indicators in the form of charts, text, etc. in the head mounted display. For example, we can represent signal coverage with a vibrant thermodynamic diagram, network throughput with a dynamic histogram, signal-to-noise ratio with values updated in real time, etc. In this way, the user can not only learn about the current performance situation, but also observe the impact of device parameters or environmental changes on performance, thereby making efficient decisions and optimizations.
In general, the performance evaluation link provides an effective tool for users to understand and optimize the performance of the relay communication system through an explicit performance index, an accurate calculation method and an intuitive display mode.
The relay communication system simulation and performance evaluation flow can perform comprehensive and detailed performance evaluation, so that the new relay communication strategy can reach expected performance before actual deployment.
In one embodiment, displaying the network performance indicator in the head mounted display includes: the network performance indicators are graphically and textually displayed in the head-mounted display.
In one embodiment, step 106 includes: a user observes the working state of the relay device from a global view and a local view through the mixed reality head mounted display; according to the observed working state of the relay equipment, a user directly modifies equipment parameters through a handheld controller and observes the influence condition of the modified parameters on the signal coverage range and network information of the relay equipment; the user simulates various test states by changing the setting of the virtual environment and/or the network load; in one embodiment, a user views the operating state of the relay device, including the signal coverage area and the device motion profile, from both a global perspective and a local perspective through a mixed reality head mounted display.
Specifically, the step of performing user interface interactions to optimize communication parameters includes:
(1) And (3) observing the state of equipment: using mixed reality techniques, a user may observe the operating state of a relay device from any perspective, including global and local. For example:
signal coverage area: the user can see the signal coverage of each device and how it changes with the location and parameters of the device.
Equipment motion trail: the user can see how the device moves according to the auto-tuning algorithm and observe the impact of this movement on signal coverage and network performance.
(2) Parameter modification: the user may directly modify parameters of the device, such as transmit power, channel frequency, etc., through the handheld controller. The user can see how these modifications affect the signal coverage and network performance of the device on the fly. This intuitive feedback can help the user understand the impact of parameters on system performance and find the optimal parameter settings.
(3) And (3) environment adjustment: the user may also change the settings of the virtual environment to simulate various actual conditions. For example:
adding/removing obstacles: users can add or remove obstructions such as buildings, trees, etc. in the virtual environment to observe their impact on signal propagation and device positioning.
Changing the network load: the user can increase or decrease virtual users and change data traffic, thereby simulating different network load conditions.
Through the user interaction function, the mixed reality platform can provide an intuitive and flexible relay communication system simulation and test environment, and helps users to comprehensively verify and optimize before actual deployment.
It should be understood that, although the steps in the flowcharts of fig. 1-2 are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in fig. 1-2 may include multiple sub-steps or phases that are not necessarily performed at the same time, but may be performed at different times, nor does the order in which the sub-steps or phases are performed necessarily occur sequentially, but may be performed alternately or alternately with at least a portion of the sub-steps or phases of other steps or other steps.
In one embodiment, a mixed reality-based relay communication system test platform is provided, the platform being configured to test a relay communication system using any of the mixed reality-based relay communication system test methods described above; the platform comprises: mixed reality devices and simulation platforms.
The mixed reality device includes: a head mounted display, a position tracking device, and a handheld controller.
A head mounted display for constructing and displaying a virtual environment in a user's field of view.
And the positioning tracking device is used for tracking and recording the positions of the user and the relay device in real time.
And the handheld controller is used for realizing interaction between the user and the virtual environment and optimizing communication parameters of the relay communication system in the virtual environment.
The simulation platform is used for constructing a virtual environment according to an actual test environment, an actual layout of the relay equipment, a mathematical model, an environment model and a user behavior model of the relay communication system, and is also used for performing performance evaluation on the relay communication system according to the current equipment state and the network environment of the relay communication system in the virtual environment to obtain a performance evaluation result; the relay communication system model is used for simulating the working principle of the relay equipment and automatically adjusting the position; the environment model is used for simulating network environment (including signal strength, interference and the like) and geographic environment (including buildings, topography and the like); and the user behavior model is used for simulating the behavior and service requirements of the user.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.
Claims (10)
1. A method for testing a relay communication system based on mixed reality, the method comprising:
constructing a mixed reality environment and equipment nodes;
constructing a virtual environment according to the actual test environment and the actual layout of the relay equipment;
configuring a relay communication system in the virtual environment;
a user directly observes and controls the behavior of the relay communication system in the virtual environment through a mixed reality interface;
and performing performance evaluation on the relay communication system according to the communication parameters of the relay communication system in the virtual environment to obtain a performance evaluation result.
2. The method of claim 1, wherein constructing the mixed reality environment and device node comprises:
and selecting a mixed reality device according to the test task requirement, and installing and calibrating the mixed reality device, wherein the mixed reality device comprises a head-mounted display, a positioning tracking device and a handheld controller.
3. The method of claim 1, wherein constructing a virtual environment based on the actual test environment and the actual layout of the relay device comprises:
modeling by adopting three-dimensional modeling software according to the actual test environment and the network environment in the test task to obtain a virtual environment;
modeling the relay equipment to obtain a relay equipment model;
and arranging a relay device model in the virtual environment according to the actual layout of the relay device.
4. The method of claim 1, wherein configuring a relay communication system in the virtual environment comprises:
setting relay equipment parameters and network topology in a virtual environment, and configuring a relay path and a protocol;
constructing a mathematical model of the relay communication system;
and simulating multi-hop relay communication by adopting simulation software according to the mathematical model, generating a simulation result, and displaying in a preset mode.
5. The method of claim 4, wherein constructing a mathematical model of the relay communication system comprises a signal transmission model, a device location model, and a network performance model;
the signal transmission model is used for calculating the intensity change of the signal from the transmitting point to the receiving point in a given environment;
the equipment positioning model is used for describing the rule of automatically adjusting the position of the relay equipment according to the surrounding environment and the state of the relay equipment;
the network performance model is used for calculating the service quality of the network by using signal coverage conditions, relay equipment positions and network loads.
6. The method of claim 5, wherein performing performance evaluation on the relay communication system according to the communication parameters of the relay communication system in the virtual environment to obtain the performance evaluation result comprises:
running the simulation of the relay communication system, and collecting the current equipment state and network environment of the relay communication system;
calculating network performance indexes according to the signal transmission model, the equipment positioning model, the network performance model, the current equipment state and the network environment, wherein the network performance indexes comprise: evaluating signal coverage, network throughput, signal quality, and device utilization;
the network performance index is displayed in the head mounted display.
7. The method of claim 6, wherein displaying the network performance indicator in the head mounted display comprises:
the network performance indicators are graphically and textually displayed in a head-mounted display.
8. The method of claim 1, wherein a user directly observes and controls behavior of the relay communication system in the virtual environment through a mixed reality interface, comprising:
a user observes the working state of the relay device from a global view and a local view through the mixed reality head mounted display;
according to the observed working state of the relay equipment, a user directly modifies equipment parameters through a handheld controller and observes the influence condition of the modified parameters on the signal coverage range and network information of the relay equipment;
the user simulates various test states by changing the settings of the virtual environment and/or network load.
9. The method of claim 1, wherein the user views the operational status of the relay device from a global perspective and a local perspective through the mixed reality head mounted display, the operational status of the relay device comprising a signal coverage area and a device motion profile.
10. A mixed reality-based relay communication system test platform, characterized in that the platform is configured to test a relay communication system by using the mixed reality-based relay communication system test method according to any one of claims 1 to 9; the platform comprises: mixed reality equipment and a simulation platform;
the mixed reality device includes: a head mounted display, a location tracking device, and a handheld controller;
the head-mounted display is used for building and displaying a virtual environment in a user field of view;
the positioning and tracking equipment is used for tracking and recording the positions of the user and the relay equipment in real time;
the handheld controller is used for realizing interaction between a user and the virtual environment and optimizing communication parameters of a relay communication system in the virtual environment;
the simulation platform is used for constructing a virtual environment according to an actual test environment, an actual layout of the relay equipment, a mathematical model, an environment model and a user behavior model of the relay communication system, and is also used for performing performance evaluation on the relay communication system according to the current equipment state and the network environment of the relay communication system in the virtual environment to obtain a performance evaluation result; the relay communication system model is used for simulating the working principle of relay equipment and automatically adjusting the position; the environment model is used for simulating a network environment and a geographic environment; the user behavior model is used for simulating the behavior and service requirements of the user.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117234343A (en) * | 2023-11-16 | 2023-12-15 | 山东经鼎智能科技有限公司 | XR multi-terminal cooperation PaaS platform |
| CN117234343B (en) * | 2023-11-16 | 2024-02-02 | 山东经鼎智能科技有限公司 | XR multi-terminal cooperation PaaS platform |
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